Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Regression Analysis01:11

Regression Analysis

6.1K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
6.1K
Temperature Measurement Sites01:14

Temperature Measurement Sites

2.3K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
2.3K
Random Error01:04

Random Error

1.8K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
1.8K
Multiple Regression01:25

Multiple Regression

3.2K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.2K
Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

683
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
683
Heating and Cooling Curves02:44

Heating and Cooling Curves

24.1K
When a substance—isolated from its environment—is subjected to heat changes, corresponding changes in temperature and phase of the substance is observed; this is graphically represented by heating and cooling curves.
For instance, the addition of heat raises the temperature of a solid; the amount of heat absorbed depends on the heat capacity of the solid (q = mcsolidΔT). According to thermochemistry, the relation between the amount of heat absorbed or released by a substance, q, and its...
24.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impacts of pollutant emissions from brick kilns on environment and human health.

International journal of environmental health research·2026
Same author

Modeling soil water distribution under drip fertigation in chrysanthemum across soil types using HYDRUS-2D.

Scientific reports·2026
Same author

Next-generation intelligent framework for pan evaporation prediction: introducing Chebyshev polynomial-based Kolmogorov-Arnold networks.

Scientific reports·2026
Same author

Genome-wide identification and functional characterization of ABA and salt stress responsive AITRs transcriptional repressors genes in sweet potato (Ipomoea batatas).

BMC plant biology·2026
Same author

Monthly soil temperature modelling across different depths using machine learning algorithms in northeast India.

Scientific reports·2026
Same author

Para-linked acceptor engineering unlocks high-efficiency phenothiazine dioxide hole transport materials for perovskite photovoltaics.

Optics express·2026
Same journal

A tri-axis optomechanical accelerometer with plasmonic MIM waveguide and structural direction-dependent optical signatures.

Scientific reports·2026
Same journal

Holographic leaky-wave antennas with independently controlled multiple counter-rotating vortex beams.

Scientific reports·2026
Same journal

Differential associations of longitudinal hearing and vision trajectories with dementia and mild cognitive impairment in older adults.

Scientific reports·2026
Same journal

Abdominal obesity and leisure-time sedentary behavior in relation to gastroesophageal reflux disease risk: a prospective cohort study from the UK Biobank.

Scientific reports·2026
Same journal

Effect of nitrogen-rich COF incorporation on the structure and separation performance of polyamide nanofiltration membranes.

Scientific reports·2026
Same journal

Withanolide A inhibits hIAPP aggregation: An In silico, biophysical, and drosophila-based In vivo validation.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Sep 18, 2025

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
04:35

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

2.1K

Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt.

Ahmed Elbeltagi1, Dinesh Kumar Vishwakarma2, Okan Mert Katipoğlu3

  • 1Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt. ahmedelbeltagy81@mans.edu.eg.

Scientific Reports
|June 20, 2025
PubMed
Summary
This summary is machine-generated.

The M5 pruned (M5P) machine learning model accurately forecasts daily minimum and maximum air temperatures in semi-arid regions. This study identified M5P as the superior model for improving water resource management and agricultural planning.

Keywords:
Input selectionMachine learningRegression analysisTemperature forecasting

More Related Videos

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

8.8K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K

Related Experiment Videos

Last Updated: Sep 18, 2025

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
04:35

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

2.1K
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

8.8K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K

Area of Science:

  • Environmental Science
  • Agricultural Science
  • Data Science

Background:

  • Accurate air temperature forecasting is crucial for water resource management, hydrological studies, and climate change impact assessments.
  • Semi-arid regions face unique challenges in water availability, making precise temperature predictions essential for agricultural planning and sustainability.

Purpose of the Study:

  • To identify the most accurate machine learning model for forecasting daily minimum (Tmin) and maximum (Tmax) air temperatures in a semi-arid environment.
  • To compare the performance of Linear Regression (LR), Additive Regression (AR), Support Vector Machine (SVM), Random Subspace (RSS), and M5 pruned (M5P) models.

Main Methods:

  • Utilized historical daily temperature data (1979-2014) from Gharbia Governorate, Egypt, divided into 75% training and 25% testing sets.
  • Applied best subset regression to determine optimal input variable combinations for Tmin and Tmax forecasting.
  • Evaluated five machine learning models based on Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Relative Absolute Error (RAE), Nash-Sutcliffe Efficiency (NSE), and Pearson Correlation Coefficient (PCC).

Main Results:

  • The M5 pruned (M5P) model demonstrated superior performance in forecasting both Tmax and Tmin compared to LR, AR, RSS, and SVM.
  • M5P achieved the lowest RMSE (2.4881°C for Tmin, 2.7696°C for Tmax) and MAE, along with the highest NSE (0.8048 for Tmin, 0.8720 for Tmax).
  • Statistical tests (Friedman ANOVA, Dunn's test) confirmed significant differences among the models, with M5P and RSS showing high variability and SVM differing significantly.

Conclusions:

  • The M5 pruned (M5P) model is a robust and precise tool for daily air temperature forecasting in semi-arid regions.
  • The findings offer valuable insights for enhancing decision-making in water resource management, irrigation, and agricultural productivity.
  • Implementing M5P can improve operational efficiency and promote sustainability in vulnerable semi-arid environments.